Geonwoo Park

13 papers A* 3C 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Frequency Synthesizer With Automatic Frequency Calibration Robust to Initial Phase Error and Phase-Noise Enhanced Ring Oscillator.
IEEE Trans. Circuits Syst. II Express Briefs
Geonwoo Park, Ockgoo Lee, Donggu Im, Ilku Nam
2025 A* conf
PyTorchSim: A Comprehensive, Fast, and Accurate NPU Simulation Framework.
MICRO
Wonhyuk Yang, Yunseon Shin, Okkyun Woo, Geonwoo Park, Hyungkyu Ham, Jeehoon Kang, Jongse Park, Gwangsun Kim
2024 A* conf
Bandwidth-Effective DRAM Cache for GPU s with Storage-Class Memory.
HPCA
Jeongmin Hong, Sungjun Cho, Geonwoo Park, Wonhyuk Yang, Young-Ho Gong, Gwangsun Kim
2024 J jnl
Bandwidth-Effective DRAM Cache for GPUs with Storage-Class Memory.
CoRR
Jeongmin Hong, Sungjun Cho, Geonwoo Park, Wonhyuk Yang, Young-Ho Gong, Gwangsun Kim
2024 A* conf
Low-Overhead General-Purpose Near-Data Processing in CXL Memory Expanders.
MICRO
Hyungkyu Ham, Jeongmin Hong, Geonwoo Park, Yunseon Shin, Okkyun Woo, Wonhyuk Yang, Jinhoon Bae, Eunhyeok Park, Hyojin Sung, Euicheol Lim, Gwangsun Kim
2024 J jnl
Low-overhead General-purpose Near-Data Processing in CXL Memory Expanders.
CoRR
Hyungkyu Ham, Jeongmin Hong, Geonwoo Park, Yunseon Shin, Okkyun Woo, Wonhyuk Yang, Jinhoon Bae, Eunhyeok Park, Hyojin Sung, Euicheol Lim, Gwangsun Kim
2024 J jnl
The Palletrone Cart: Human-Robot Interaction-Based Aerial Cargo Transportation.
IEEE Robotics Autom. Lett.
Geonwoo Park, Hyungeun Park, Wooyong Park, Dongjae Lee, Murim Kim, Seung Jae Lee
2023 J jnl
ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications.
IEEE Access
Hochul Hwang, Cheongjae Jang, Geonwoo Park, Junghyun Cho, Ig-Jae Kim
2023 — conf
MMTF: Multi-Modal Temporal Fusion for Commonsense Video Question Answering.
ICCV (Workshops)
Mobeen Ahmad, Geonwoo Park, Dongchan Park, Sanguk Park
2023 — conf
Magnetic MIMO for Brain Treatment and Communications.
CCNC
Geonwoo Park, Giyong Na, Jongwon Lee, Chan-Byoung Chae
2020 J jnl
ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications.
CoRR
Hochul Hwang, Cheongjae Jang, Geonwoo Park, Junghyun Cho, Ig-Jae Kim
2019 C conf
Generation of Correct Word Sequences from Multiple Outputs of a Conventional Automatic Speech Recognizer for Voice-Activated Information Appliances.
ICCE
Geonwoo Park, Harksoo Kim
2018 J jnl
Effective integration of morphological analysis and named entity recognition based on a recurrent neural network.
Pattern Recognit. Lett.
Hyeon-gu Lee, Geonwoo Park, Harksoo Kim

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.